Results 191 to 200 of about 11,734,216 (296)

How Does AI Empower Corporate ESG Practices? Mechanisms Based on Information Processing Theory

International Journal of Finance &Economics, EarlyView.
ABSTRACT In the context of the latest technological revolution and industrial transformation, Artificial Intelligence (AI) provides new impetus for the development of corporate ESG practices. This study, based on data from 2630 A‐share listed companies in China from 2010 to 2022, examines the impact of AI on corporate ESG performance and its mechanisms
Qin Zhu, Shanshan Jiang, Anna Min Du
wiley   +1 more source

GAN‐LSTM‐3D: An efficient method for lung tumour 3D reconstruction enhanced by attention‐based LSTM

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Three‐dimensional (3D) image reconstruction of tumours can visualise their structures with precision and high resolution. In this article, GAN‐LSTM‐3D method is proposed for 3D reconstruction of lung cancer tumours from 2D CT images. Our method consists of three phases: lung segmentation, tumour segmentation, and tumour 3D reconstruction. Lung
Lu Hong, Mohammad Hossein Modirrousta, Mohammad Hossein Nasirpour, Mohammadreza Mirshekari Chargari, Fardin Mohammadi, Seyed Vahid Moravvej, Leila Rezvanishad, Mohammadreza Rezvanishad, Ivan Bakhshayeshi, Roohallah Alizadehsani, Imran Razzak, Hamid Alinejad‐Rokny, Saeid Nahavandi   +12 more
wiley   +1 more source

Using Long Short-Term Memory (LSTM) recurrent neural networks to classify unprocessed EEG for seizure prediction. [PDF]

Front Neurosci
Chambers JD, Cook MJ, Burkitt AN, Grayden DB.   +3 more
europepmc   +1 more source

Multi‐command wearable magnetic human‐machine interface enabled by low‐noise sensing and time‐series deep learning

InfoScience, EarlyView.
This study integrates a wrist‐worn sensing platform based on a low‐noise planar Hall magnetoresistive sensor with time‐series deep learning to enable long‐range, single‐sensor, multi‐command gesture recognition with high accuracy. Further evaluations show reliable generalization across different days, previously unseen users, wearing‐position ...
Guannan Mu, Proloy Taran Das, Jan Schmidtpeter, Andreas Knüpfer, Rui Xu, Denys Makarov   +5 more
wiley   +1 more source

Hybrid parking space prediction model: integrating ARIMA, Long short-term memory (LSTM), and backpropagation neural network (BPNN) for smart city development. [PDF]

PeerJ Comput Sci
Dahiya A, Mittal P, Sharma YK, Lilhore UK, Simaiya S, Haq MA, Aleisa MA, Alenizi A.   +7 more
europepmc   +1 more source

Long short-term memory over recursive structures

, 2016
The chain-structured long short-term memory (LSTM) has showed to be effective in a wide range of problems such as speech recognition and machine translation.
Guo, Hongyu, Zhu, Xiaodan, Sobhani, Parinaz   +2 more
core  

Time‐Frequency Market‐State Learning for Execution‐Aware Directional Prediction: Evidence From the CSI 300 Index

International Studies of Economics, EarlyView.
ABSTRACT Financial markets can be viewed as multiscale information systems in which short‐lived disturbances, recurrent temporal patterns, liquidity conditions, and execution constraints jointly shape index price movements. This study develops an empirical‐wavelet‐and‐Fourier time‐frequency (EFT) feature block integrated with a ConvTransformer ...
Yi Chen, Ranzhe Jing, Qiang Li
wiley   +1 more source

Ocean wave prediction using Long Short-Term Memory (LSTM) and Extreme Gradient Boosting (XGBoost) in Tuban Regency for fisherman safety. [PDF]

MethodsX
Dhiya'ulhaq RA, Safira A, Fahmiyah I, Ghani M.   +3 more
europepmc   +1 more source

SparGlu: A sparse‐data evaluation framework for gated recurrent unit‐based blood glucose prediction across varying monitoring intervals

Journal of Intelligent Medicine, EarlyView.
A sparse‐aware GRU model accurately predicts blood glucose levels using downsampled and limited data, achieving clinically safe forecasts even under low‐monitoring conditions. By effectively capturing glucose dynamics through residual learning, the model supports personalized diabetes self‐management, offering a practical solution for resource‐limited ...
Genet Tadese Aboye, Jasper Gielen, Gizeaddis Lamesgin Simegn, Jean‐Marie Aerts   +3 more
wiley   +1 more source

Modeling Temperature-Dependent Photoluminescence Dynamics of Colloidal CdS Quantum Dots Using Long Short-Term Memory (LSTM) Networks. [PDF]

Materials (Basel)
Malashin I, Daibagya D, Tynchenko V, Nelyub V, Borodulin A, Gantimurov A, Selyukov A, Ambrozevich S, Smirnov M, Ovchinnikov O.   +9 more
europepmc   +1 more source